Abstract:

In this paper, an improved algorithm is proposed for mixing matrix estimation in underdetermined blind source separation (UBSS). In the algorithm, the single source points in the time frequency (TF) domain are detected first. Then, those single source points which deteriorate the mixing matrix estimation accuracy are removed. Finally, the mixing matrix is estimated by using a clustering method. It is experimentally shown that the proposed algorithm estimates the mixing matrix with high accuracy and robustness compared with existing algorithms.

Key words: Underdetermined blind source separation, Sparse component analysis, Mixing matrix estimation, Robustness